About The Position

We are seeking a forward-thinking and analytically strong Legal Counsel, Artificial Intelligence & Data Innovation to support the legal development of AI/ML tools, algorithm governance, and data-driven technologies. This role focuses on the responsible, ethical, and compliant use of AI in enterprise systems, digital health products, and real-world data initiatives. You will collaborate with Privacy, Data Governance, R&D, and Product teams to navigate cutting-edge regulatory and legal issues surrounding AI deployment.

Requirements

  • Juris Doctor (JD) with license to practice in at least one jurisdiction.
  • Minimum 10 years applicable professional experience in law firm or corporate legal department setting with demonstrated experience and a strong interest or focus in AI/ML, data science, or emerging technologies.
  • Knowledge of intellectual property, data protection, and regulatory frameworks relevant to AI innovation.
  • Excellent research, risk-spotting, and cross-functional communication skills.

Nice To Haves

  • Prior professional experience considered; medical device, pharmaceutical, life sciences experience strongly preferred.
  • Exposure to algorithmic governance, model validation, or ethics in tech is a plus.

Responsibilities

  • Advise on the legal, ethical, and IP implications of AI/ML model development and deployment.
  • Provide legal guidance on algorithmic transparency, explainability, model lifecycle management, and fairness audits.
  • Support legal reviews for vendor engagement, data training sets, and co-development of AI-powered tools.
  • Counsel on cross-border data flows, data labeling, retention, and re-use for AI applications.
  • Partner with Privacy and Digital Health to align AI projects with global data protection and regulatory requirements.
  • Monitor emerging AI legislation (e.g., EU AI Act, U.S. Executive Orders, industry guidelines) and translate developments into policy recommendations.
  • Provide legal counsel on the deployment of AI/ML technologies, including: Vendor engagement and IP ownership Fairness, transparency, and explainability standards Risk mitigation strategies for regulated medical and enterprise use
  • Advise on enterprise productivity platforms with a focus on licensing, interoperability, data handling, and user compliance.
  • Partner with other members of the legal team (commercial, regulatory, IP, data governance & privacy) to coordinate and align on all issues concerning AI, such as: AI model training using sensitive data Cross-border data flows and platform integrations Retention, access controls, and auditability in collaboration tools

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

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